A fuzzy- rough set approach to determine weights in maintenance quality function deployment

There has been growing emphasis on quality measures and process analysis techniques that may be implemented in the daily practice of aviation refuelling to improve the overall quality of safety care. The quality assessment and process controls are most effective when used to determine the level of execution proficiency against the standard of aviation fuel quality control and handling. In this article, we have developed the quality assessment tools, control charts and new key indicator to prioritize the quality improvement that should be actionable and specific to guide process improvement efforts successively. Changing from a regular visual check to an automatic visual inspection tool, as well as from a pass/fail criteria to a satisfaction scale from 1 to 10 in the control, produces systematic data. Control charts are an effective way to separate a change in the process, so the user can focus on issues that are more likely to improve quality and safety. Our proposed quality assessment tools, process control and quality improvement prioritization were used to provide continuous feedback on the aviation refuelling service's capability to exceed the standards.

show abstract

A fuzzy- rough set approach to determine weights in maintenance quality function deployment

Valavi¹,

Pramod²

2017

10.5267/j.dsl

Self Cite

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A fuzzy- rough set approach to determine weights in maintenance quality function deployment

Cited by 3 publications

References 24 publications

A new warranty policy based on a buyer’s preventive maintenance investment

A new warranty policy based on a buyer’s preventive maintenance investment

A method of prioritizing quality improvement in aviation refuelling services at airport

A fuzzy- rough set approach to determine weights in maintenance quality function deployment

Contact Info

Product

Resources

About